An automatic analyzer for sports video databases using visual cues and real-world modeling

Jungong Han; D.S. Farin; P.H.N. With, de; Weilun Lao

doi:10.1109/ICCE.2006.1598518

An automatic analyzer for sports video databases using visual cues and real-world modeling

Jungong Han, D.S. Farin, P.H.N. With, de, Weilun Lao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

104 Downloads (Pure)

Abstract

With the advent of hard-disk video recording, video databases gradually emerge for consumer applications. The large capacity of disks requires the need for fast storage and retrieval functions. We propose a semantic analyzer for sports video, which is able to automatically extract and analyze key events, such as player behavior. The analyzer employs several visual cues and a model for real-world coordinates, so that speed and position of a player can be determined with sufficient accuracy. It consists of four processing steps: (1) playing event detection, (2) court and player segmentation, as well as a 3-D camera model, (3) player tracking, and (4) event-based high-level analysis exploiting visual cues extracted in the real-world. We show attractive experimental results remarking the system efficiency and classification skills.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Consumer Electronics, ICCE '06, 7-11 January 2006, Las Vegas, Nevada
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	477-478
ISBN (Print)	0-7803-9459-3
DOIs	https://doi.org/10.1109/ICCE.2006.1598518
Publication status	Published - 2006

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Han, J., Farin, D. S., With, de, P. H. N., & Lao, W. (2006). An automatic analyzer for sports video databases using visual cues and real-world modeling. In Proceedings of the IEEE International Conference on Consumer Electronics, ICCE '06, 7-11 January 2006, Las Vegas, Nevada (pp. 477-478). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCE.2006.1598518

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title = "An automatic analyzer for sports video databases using visual cues and real-world modeling",

abstract = "With the advent of hard-disk video recording, video databases gradually emerge for consumer applications. The large capacity of disks requires the need for fast storage and retrieval functions. We propose a semantic analyzer for sports video, which is able to automatically extract and analyze key events, such as player behavior. The analyzer employs several visual cues and a model for real-world coordinates, so that speed and position of a player can be determined with sufficient accuracy. It consists of four processing steps: (1) playing event detection, (2) court and player segmentation, as well as a 3-D camera model, (3) player tracking, and (4) event-based high-level analysis exploiting visual cues extracted in the real-world. We show attractive experimental results remarking the system efficiency and classification skills.",

author = "Jungong Han and D.S. Farin and {With, de}, P.H.N. and Weilun Lao",

year = "2006",

doi = "10.1109/ICCE.2006.1598518",

language = "English",

isbn = "0-7803-9459-3",

pages = "477--478",

booktitle = "Proceedings of the IEEE International Conference on Consumer Electronics, ICCE '06, 7-11 January 2006, Las Vegas, Nevada",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Han, J, Farin, DS, With, de, PHN & Lao, W 2006, An automatic analyzer for sports video databases using visual cues and real-world modeling. in Proceedings of the IEEE International Conference on Consumer Electronics, ICCE '06, 7-11 January 2006, Las Vegas, Nevada. Institute of Electrical and Electronics Engineers, Piscataway, pp. 477-478. https://doi.org/10.1109/ICCE.2006.1598518

An automatic analyzer for sports video databases using visual cues and real-world modeling. / Han, Jungong; Farin, D.S.; With, de, P.H.N. et al.
Proceedings of the IEEE International Conference on Consumer Electronics, ICCE '06, 7-11 January 2006, Las Vegas, Nevada. Piscataway: Institute of Electrical and Electronics Engineers, 2006. p. 477-478.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2006

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AB - With the advent of hard-disk video recording, video databases gradually emerge for consumer applications. The large capacity of disks requires the need for fast storage and retrieval functions. We propose a semantic analyzer for sports video, which is able to automatically extract and analyze key events, such as player behavior. The analyzer employs several visual cues and a model for real-world coordinates, so that speed and position of a player can be determined with sufficient accuracy. It consists of four processing steps: (1) playing event detection, (2) court and player segmentation, as well as a 3-D camera model, (3) player tracking, and (4) event-based high-level analysis exploiting visual cues extracted in the real-world. We show attractive experimental results remarking the system efficiency and classification skills.

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DO - 10.1109/ICCE.2006.1598518

M3 - Conference contribution

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BT - Proceedings of the IEEE International Conference on Consumer Electronics, ICCE '06, 7-11 January 2006, Las Vegas, Nevada

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

ER -

An automatic analyzer for sports video databases using visual cues and real-world modeling

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